update mdc v1 limitation

Author: jiaochenlu

articles/machine-learning/how-to-manage-quotas.md

@@ -135,8 +135,6 @@ Azure Machine Learning kubernetes online endpoints have limits described in the
 | Deployment name| Deployment names must <li> Begin with a letter <li> Be 3-32 characters in length  <li>  Only consist of letters and numbers <sup>1</sup> |
 | Number of endpoints per subscription | 50 |
 | Number of deployments per subscription | 200 |
-| Number of endpoints per cluster | 20 |
-| Number of deployments per cluster | 200 |
 | Number of deployments per endpoint | 20 |
 | Max request time-out at endpoint level  | 300 seconds |
 

articles/machine-learning/v1/how-to-enable-data-collection.md

@@ -12,7 +12,7 @@ ms.date: 08/16/2022
 ms.topic: how-to
 ms.custom: UpdateFrequency5, data4ml, sdkv1, event-tier1-build-2022
 ---
-# Collect data from models in production (preview)
+# Collect data from models in production
 
 [!INCLUDE [sdk v1](../../../includes/machine-learning-sdk-v1.md)]
 
@@ -28,6 +28,10 @@ Once collection is enabled, the data you collect helps you:
 
 * Retrain your model with the collected data.
 
+## Limitations
+
+* The model data collection feature can only work with Ubuntu 18.04 image.
+
 >[!NOTE]
 > The data collection feature is currently in preview, any preview features are not recommended for production workloads.